Coupled dictionaries for thermal to visible face recognition

Thermal to visible face recognition is the problem of identifying a thermal infrared (IR) face image given a gallery of visible light face images. We attempt to solve this problem by learning coupled dictionaries to represent the two domains. The dictionaries provide a sparse representation which tr...

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Bibliographic Details
Main Authors: Reale, Christopher, Nasrabadi, Nasser M., Chellappa, Rama
Format: Conference Proceeding
Language:English
Subjects:
Dictionaries
Face
Face recognition
Optimization
Probes
Support vector machines
Training
Online Access:Request full text
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Summary:Thermal to visible face recognition is the problem of identifying a thermal infrared (IR) face image given a gallery of visible light face images. We attempt to solve this problem by learning coupled dictionaries to represent the two domains. The dictionaries provide a sparse representation which transforms the data into a single, domain-independent, latent space. We formulate the dictionary learning problem as a bi-level optimization problem and perform a stochastic gradient descent on the dictionaries to solve it. We present experimental results demonstrating the effectiveness of our approach.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2014.7025065